当代财经 ›› 2017, Vol. 0 ›› Issue (08): 237-.

• • 上一篇    

法治环境、政治关联与违规查处——来自A股市场的经验证据

徐尧,刘峰,王亚   

  1. (厦门大学 管理学院,福建 厦门 361005)
  • 收稿日期:2017-04-27 发布日期:2021-01-21
  • 作者简介:徐 尧,厦门大学博士研究生,主要从事公司治理、监管策略研究;刘 峰,厦门大学教授,博士生导师,主要从事会计准则、资本市场信息披露与监管案例研究,通讯作者联系方式cnliufeng@gmail.com;王 亚,厦门大学博士研究生,主要从事资本市场会计与财务问题研究。

Legal Environment, Political Connections and Irregularity Investigation: Empirical Evidences from A-Share Market

XU Yao, LIU Feng, WANG Ya   

  1. (Xiamen University, Xiamen 361005, China)
  • Received:2017-04-27 Published:2021-01-21

摘要: 采用部分可观测的Bivariate Probit模型,系统地研究企业所处的法治环境、政治关联类型以及产权性质对其违规行为的影响。实证结果表明:法治环境的改善和企业的政治关联都能降低公司违规的概率,且这一效应主要体现在官员类政治关联中;从企业的产权性质来看,国有企业的官员类政治关联能够降低企业违规被稽查的概率,而法治环境的改善能够降低企业的违规倾向,从而削弱了政治关联的作用效果;对于民营企业,虽然法治环境的改善同样降低了其违规倾向,但政治关联对其违规被稽查的概率没有产生影响。

关键词: 法治环境,政治关联,违规查处,Bivariate Probit

Abstract: By applying the partially observable Bivariate Probit model, this paper systematically studies the impact of the legal environment, the types of political connections and the nature of property rights in which the enterprises exist on their illegal behaviors. The empirical results show that the improvement of the legal environment and the political connections of the enterprises can reduce the probability of the company’s violations, and this effect is mainly reflected in the political relations of the officials. From the point of the nature of the property rights of the enterprise, the officers’ political connections of the state-owned enterprises can reduce the probability of being investigated and punished for their irregularities, while the improvement of the legal environment can reduce the tendency of their violations, thus weakening the effect of political connections. As for private enterprises, although the improvement of the legal environment can also reduce the tendency of their violations, yet the political connections have no impact on the probability of being investigated or punished for their violations.

Key words: legal environment; political connections; irregularity investigation; Bivariate Probit